Run: 2026-07-25-01KYCT6X4TTDT7MVPM76FB6SB4

Run Details

Duration:
5m 30s
Cost:
$0.018719
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
6.09% Matches word count (details)
93.73% Dialogue to Total Word Ratio (details)
49.9108% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly spread the blueprint across the hood of a stolen sedan, weighing the corners with empty energy-drink cans. "The boy is turning six," she said, tapping a crayon-drawn map of the living room. Bill adjusted his ski mask, decorated with smiling teddy bears from a clearance bin. "Six years of goodwill in plastic packaging," he muttered, checking the magazine of his neon water pistol. They had surveilled the suburban target for three exhausting weeks, noting that parents served organic juice boxes and that the inflatable bounce house arrived at precisely eleven. Bill practiced crawling through a cardboard box marked 'FRAGILE: PARTY FAVORS.' "We go in as clowns," Molly proposed, holding up two red noses that squeaked like panicked mice. Bill pulled on oversized shoes, waddling like a penguin harboring a deep grudge. The presents were stacked beneath a glittery unicorn piƱata, each box wrapped in paper so reflective it could blind security cameras. "We take everything before cake," Molly whispered, stuffing deflated balloons into her duffel bag. Bill loaded candy into his pockets, leaving just enough room for the remote-controlled car he had already decided was his retirement fund. They synchronized cheap wristwatches to the exact minute the magician pulled a rabbit from his hat, knowing toddlers made excellent unreliable witnesses and that chaos was the oldest, sweetest trick in any criminal's book.
created_at"2026-07-25T14:17:34.113Z" 7/25/2026, 2:17:34 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency999
moderation_latency(null)
generation_time329729
tokens_prompt75
tokens_completion3967
native_tokens_prompt75
native_tokens_completion4610
native_tokens_completion_images(null)
native_tokens_reasoning3609
native_tokens_cached32
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.01871894
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-RPEuTfn0qY7H7KI8Y4MjBoap"
is_byokfalse
latency65
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784989054-0Q7bd1HhOUvzvmlEj2c4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989054-4L9dOFSXJkeUQGPIGck6"
upstream_id"chatcmpl-RPEuTfn0qY7H7KI8Y4MjBoap"
total_cost0.01871894
cache_discount0.00002656
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
6.09% Matches word count n/a
neededCleanfalse
words223
93.73% Dialogue to Total Word Ratio
Ratio: 15.04%, Deviation: 5.04%
neededCleanfalse
wordsTotal226
wordsDialogue34
49.9108%